Search result for Linear modeling Online Courses & Certifications
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Comprehensive Linear Modeling with R
by Geoffrey Hubona, Ph.D.- 3.9
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14.5 hours on-demand video
Comprehensive Linear Modeling with R provides a wide overview of numerous contemporary linear and non-linear modeling approaches for the analysis of research data. Then generalized linear modeling (GLM) is explained and demonstrated with numerous examples. The course concludes with a section on the special considerations and techniques for establishing simultaneous inference in the linear modeling domain....
$12.99
Linear Regression, GLMs and GAMs with R
by Geoffrey Hubona, Ph.D.- 4.1
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8 hours on-demand video
How to extend linear regression to specify and estimate generalized linear models and additive models. Linear Regression, GLMs and GAMs with R demonstrates how to use R to extend the basic assumptions and constraints of linear regression to specify, model, and interpret the results of generalized linear (GLMs) and generalized additive (GAMs) models....
$12.99
Introduction to Predictive Modeling
by De Liu- 5
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Approx. 12 hours to complete
This course will introduce to you the concepts, processes, and applications of predictive modeling, with a focus on linear regression and time series forecasting models and their practical use in Microsoft Excel. During the course, we will provide you opportunities to practice predictive modeling techniques on real-world datasets using Excel. Week/Module 1: Simple Linear Regression...
Bayesian Statistics: Techniques and Models
by Matthew HeinerTop Instructor- 4.8
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Approx. 30 hours to complete
The lectures provide some of the basic mathematical development, explanations of the statistical modeling process, and a few basic modeling techniques commonly used by statisticians. Statistical modeling and Monte Carlo estimation Modeling process Introduction to linear regression Count data and hierarchical modeling Linear regression example Linear regression example in JAGS Applications of hierarchical modeling...
Linear Regression and Modeling
by Mine Çetinkaya-Rundel- 4.7
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Approx. 10 hours to complete
This course introduces simple and multiple linear regression models. About Linear Regression and Modeling More about Linear Regression and Modeling Linear Regression Conditions for Linear Regression More about Linear Regression Inference for Linear Regression...
Advanced Linear Models for Data Science 2: Statistical Linear Models
by Brian Caffo, PhD- 4.6
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Approx. 6 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 2: Statistical Linear Models. This class is an introduction to least squares from a linear algebraic and mathematical perspective. - A basic understanding of linear algebra and multivariate calculus. After taking this course, students will have a firm foundation in a linear algebraic treatment of regression modeling....
Precalculus: Mathematical Modeling
by Joseph W. Cutrone, PhDTop Instructor- 4.5
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Approx. 10 hours to complete
Module 1: Linear Modeling Linear Modeling Sample Problems: Linear Modeling Linear Modeling Module 2: Exponential Modeling Examples of Exponential Modeling Modeling with Data: Population Growth Sample Problems: Exponential Modeling Exponential Modeling Modeling with Other Functions Modeling with Power Functions Modeling with Cyclic Data Sample Problems: Modeling with Other Functions Modeling with Other Functions...
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Advanced Linear Models for Data Science 1: Least Squares
by Brian Caffo, PhD- 4.4
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Approx. 8 hours to complete
Welcome to the Advanced Linear Models for Data Science Class 1: Least Squares. This class is an introduction to least squares from a linear algebraic and mathematical perspective. - A basic understanding of linear algebra and multivariate calculus. Connection with linear regression Linear regression Linear Regression Quiz...
Fitting Statistical Models to Data with Python
by Brenda Gunderson , Brady T. West , Kerby Shedden- 4.4
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Approx. 15 hours to complete
This course will introduce and explore various statistical modeling techniques, including linear regression, logistic regression, generalized linear models, hierarchical and mixed effects (or multilevel) models, and Bayesian inference techniques. Types of Variables in Statistical Modeling Different Study Designs Generate Different Types of Data: Implications for Modeling Linear Regression Introduction Linear Regression Inference...
Statistical Predictive Modelling and Applications
by Dr Galina Andreeva , Dr Matthias Bogaert , Sofia Varypati- 0.0
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6 Weeks
In this course, you will learn three predictive modelling techniques - linear and logistic regression, and naive Bayes - and their applications in real-world scenarios. The first half of the course focuses on linear regression. You will also be introduced to naive Bayes; a very intuitive, probabilistic modeling technique. Translate business challenges into predictive modeling solutions...
$300
